融合正弦余弦算法的花授粉算法

刘升; 赵齐辉; 陈思静

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融合正弦余弦算法的花授粉算法

更新时间：2026-09-04

- 融合正弦余弦算法的花授粉算法
- Flower Pollination Algorithm Based on Sine Cosine Algorithm
- 微电子学与计算机 2018年35卷第6期页码：84-87
- 作者机构：
  
  上海工程技术大学机构管理学院,上海,201620
- 作者简介：
- 基金信息：
  
  国家自然科学基金 61075115上海工程技术大学研究生科研创新项目 E3-0903-16-01304
- DOI：
  中图分类号：
- 纸质出版：2018
- 稿件说明：
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刘升, 赵齐辉, 陈思静. 融合正弦余弦算法的花授粉算法[J]. 微电子学与计算机, 2018, 35(6): 84-87.

LIU Sheng, ZHAO Qi-hui, CHEN Si-jing. Flower Pollination Algorithm Based on Sine Cosine Algorithm[J]. 2018, 35(6): 84-87.
刘升, 赵齐辉, 陈思静. 融合正弦余弦算法的花授粉算法[J]. 微电子学与计算机, 2018, 35(6): 84-87. DOI：

LIU Sheng, ZHAO Qi-hui, CHEN Si-jing. Flower Pollination Algorithm Based on Sine Cosine Algorithm[J]. 2018, 35(6): 84-87. DOI：

摘要

针对基本花授粉算法存在容易陷入局部最优、求解精度粗糙等问题

提出一种融合正弦余弦算法的花授粉算法.将正弦余弦算法作为一种局部算法嵌入到花授粉中

对花粉个体分别进行正弦和余弦优化.并用六种标准函数测试算法的性能

结果表明SCA-FPA寻优性能优于基本花授粉算法和基于差分进化的花授粉算法.

Abstract

To solve the problems of basic flower pollination algorithm easily falling into local optimum and the low computational accuracy

presenting a flower pollination algorithm based on sine cosine algorithm

which means designing a sine cosine algorithm as a local optimization operator to optimizing flower with sine and cosine function. Six standard functions are tested

and the results show that SCA-FPA is better than basic flower pollination algorithm and DEFPA.

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references

Kaur G, Singh D, Kaur M. Robust and Efficient 'RGB'based Fractal Image Compression: Flower Pollination based Optimization [J]. Proc. of International Journal of Computer Applications, 2013, 78(10): 11-15. DOI: 11

Abdel-Raouf O, El-Henawy I, Abdel-Baset M. A Novel Hybrid Flower Pollination Algorithm with Chaotic Harmony Search for Solving Sudoku Puzzles [J]. International Journal of Modern Education and Computer Science (IJMECS), 2014, 6(3): 38-44. DOI: 38

Yang X S. Flower pollination algorithm for global optimization [M]//Unconventional computation and natural computation. Springer Berlin Heidelberg, 2012: 240-249.

Sujin Bureerat Nantiwat Pholdee. Adaptive Sine Cosine Algorithm Integrated with Differential Evolution for Structural Damage Detection[C]. International Conference on Computational Science and Its Applications ICCSA 2017: Computational Science and Its Applications - ICCSA, 2017, (10404): 71-86.

Mohamed A. Tawhid Vimal Savsani. Multi-objective sine-cosine algorithm (MO-SCA) for multi-objective engineering design problems[J]. Neural Computing and Applications, 2017(4):1-15. DOI: 1

Sujoy Das, Aniruddha Bhattacharya, Ajoy Kumar Chakraborty. Solution of short-term hydrothermal scheduling using sine cosine algorithm[J]. Soft Computing, 2017, (06):1-19. DOI: 1

El-henawy I, Ismail M. An improved chaotic flower pollination algorithm for solving large integer programming problems [J]. International Journal of Digital Content Technology and its Applications, 2014, 8(3): 72. DOI: 72

肖辉辉, 万常选, 段艳明.一种改进的新型元启发式花朵授粉算法[J].计算机应用研究, 2016, (01):126-131. DOI: 126

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